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AWS Certified Solutions Architect – Associate Questions and Answers (Dumps and Practice Questions)



Question : Which of the following statements about this S bucket policy is true?
: Which of the following statements about this S bucket policy is true?
1. Denies the server with the IP address 192 168 100 0 full access to the "mybucket" bucket
2. Denies the server with the IP address 192 168 100 188 full access to the "mybucket" bucket
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4. Grants all the servers within the 192 168 100 188/32 subnet full access to the "mybucket" bucket

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Question :

In ragards to Monitoring Volumes with CloudWatch with the 'Detailed' type the data available for your Amazon EBS volumes,
Provisioned IOPS volumes automatically send _____ minute metrics to Amazon CloudWatch.



:
1. 2
2. 1
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4. 10



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Explanation: CloudWatch metrics are statistical data that you can use to view, analyze, and set alarms on the operational behavior of your volumes.

The following table describes the types of monitoring data available for your Amazon EBS volumes.

Type Basic : Data is available automatically in 5-minute periods at no charge. This includes data for the root device volumes for Amazon EBS-backed
instances.

Detailed : Provisioned IOPS volumes automatically send one-minute metrics to CloudWatch.

When you get data from CloudWatch, you can include a Period request parameter to specify the granularity of the returned data. This is different than the
period that we use when we collect the data (5-minute periods). We recommend that you specify a period in your request that is equal to or larger than the
collection period to ensure that the returned data is valid.

You can get the data using either the Amazon CloudWatch API or the Amazon EC2 console. The console takes the raw data from the Amazon CloudWatch API and
displays a series of graphs based on the data. Depending on your needs, you might prefer to use either the data from the API or the graphs in the console.






Question :

When Amazon EBS determines that a volume's data is potentially inconsistent, it disables I/O to the volume
from any attached EC2 instances by default. This causes the volume status check to fail, and creates a volume status event that indicates the cause of the
failure.

To automatically enable I/O on a volume with potential data inconsistencies, change the setting of the ___________ volume attribute.


:
1. AutoPermitIO
2. AutoEnableIO
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4. AutoAllowIP



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Explanation: When Amazon EBS determines that a volume's data is potentially inconsistent, it disables I/O to the volume from any attached EC2 instances by default.
This causes the volume status check to fail, and creates a volume status event that indicates the cause of the failure.

To automatically enable I/O on a volume with potential data inconsistencies, change the setting of the AutoEnableIO volume attribute. For more information
about changing this attribute.

Each event includes a start time that indicates the time at which the event occurred, and a duration that indicates how long I/O for the volume was
disabled. The end time is added to the event when I/O for the volume is enabled.

When Amazon EBS determines that a volume's data is potentially inconsistent, it disables I/O to the volume from any attached EC2 instances by default. This
causes the volume status check to fail, and creates a volume status event that indicates the cause of the failure. If the consistency of a particular volume
is not a concern, and you prefer that the volume be made available immediately if it's impaired, you can override the default behavior by configuring the
volume to automatically enable I/O. If you enable the AutoEnableIO volume attribute, I/O between the volume and the instance is automatically reenabled and
the volume's status check will pass



Related Questions

Question : You are working with a IT Technology blogging company named QuickTechie Inc. They have huge number of blogs on various technologies. They
have their infrastructure developed in AWS, using EC2 and MYSQL database, installed on the same EC2 instance locally. And your chief architect informed
that there are some performance issues with this architect and as you know this is not a resilient solution. To solve this problem, you suggested using
RDS with Multi-AZ deployment, which solves the resilient requirement. Now, with regards to performance, you have been informed that 99% time blogging
site is accessed for reading the blogs and hardly for 1 % wring and updating the blogs. Which of the following option will help you to increase the
performance in given scenario?


 : You are working with a IT Technology blogging company named QuickTechie Inc. They have huge number of blogs on various technologies. They
1. As you have Multi-AZ deployment so that start writing to secondary copy whenever blog is created or updated.

2. You should have Multi-AZ deployment and all the write should go to the primary database and read from the secondary database.

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4. You should have used NoSQL database, as they are good fit for blogging solutions.



Question : You are working in a bank, Arinika Inc. This bank asked you to implement best solution for commenting and messaging on their mobile
applications. You have used DynamoDB to store all this comments and messages. However, now bank want to do some analytics based on user transactions,
messages and comments to analyze the spending behavior. What is your solution for this requirement?


 : You are working in a bank, Arinika Inc. This bank asked you to implement best solution for commenting and messaging on their mobile
1. You should move these comments and messages on the RDS and ask your analytics team to use this database for their analytical queries.

2. You should move transaction data on the Redshift and ask your analytics team to use this database for their analytical queries.

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4. You should use RRS to store comments and messages and combine it with the already stored transaction to do analytics.



Question : You have been working in a financial company, which creates indexes based on equity data. Your technical team are in process of creating
product based on newly acquired vendor and data stored in Amazon RDS, where automated backup is enabled. During production deployment you have asked DBA
team to create a table, with statement drop first and then create table. Now table have been dropped by DBA and new empty table has been created.
However, in few moments you got a complain that other applications were reading the data from that table and they are not getting these data now. It’s
very critical production application. How, will you and your DBA can handle this scenario?


 : You have been working in a financial company, which creates indexes based on equity data. Your technical team are in process of creating
1. As you are using Amazon RDS, in a few moment you can re-store the table which has been deleted.

2. You will restore the entire database from snapshot backup.

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4. as Amazon RDS store backup snapshots in Amazon Glacier. It will take 3-5 hrs to get the snapshot, and will be recovered.



Question : You are working as an AWS solution architect and you need to have a better solution for mobile wallet to store all the transaction data.
Hence, you decided to use Amazon RDS, but now question comes that, you need highly resilient solution. Which of the following RDS instances support
resiliency based on your requirement?


 : You are working as an AWS solution architect and you need to have a better solution for mobile wallet to store all the transaction data.
1. SQL Server, MySQL, Oracle

2. Oracle , Aurora, SQLServer

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4. All Database supported as part of RDS have Multi-Az support



Question : You are developing a technology blogging website. Where ’s of learners will create the blogs on weekly basis. However, more than
millions of user will read this blog website. And you decided to use the Amazon RDS, you are confusing which DB engine would be good for this requirement?



 : You are developing a technology blogging website. Where ’s of learners will create the blogs on weekly basis. However, more than
1. SQL Server, MySQL, Oracle

2. Oracle, Aurora, SQLServer

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4. All Database supported as part of RDS have Multi-Az support

5. MySQL, MariaDB, Amazon Aurora and PostGreSQL




Question : You have been working with an e-commerce company, which has its data stored in AWS RDS database. You are at the last stage of
productionizing this solution. For resiliency you have enabled multi-Az deployment. Now, your chief architect asked you that have you done testing for
failover or assumed it will work. Certainly, you should not assume it will work, you have to test for every scenario your solution. What will you do to
test failover for given scenario?


 : You have been working with an e-commerce company, which has its data stored in AWS RDS database. You are at the last stage of
1. As this is about stopping primary DB instance in one of the availability zone. Hence, you need to raise support ticket to stop the
primary RDS instance.

2. You have to stop Secondary DB instance, as this does not require AWS support ticket. You can stop that and test the given scenario.

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in background.

4. This scenario practically cannot be tested, as required entire datacenter to bring down.